ELI5: data engineering
// explanation
What is data engineering?
Data engineering is like being a plumber for information โ data engineers build the pipes and systems that help companies collect, store, and move data around so other people can use it [4][5]. Imagine you have tons of water (data) coming from different sources, and you need to organize it, clean it, and send it where it needs to go [4].
Why do we need data engineers?
Companies collect so much information from their customers and computers that they need someone to organize it all [4]. Without data engineers, all that information would be messy and hard to understand, like having a library where all the books are jumbled on the floor [5].
What do data engineers actually build?
Data engineers create the systems that collect data from many places, store it safely, and set it up so that other people (like analysts and scientists) can study it and make decisions [4][5]. They work on data pipelines, databases, and the tools that move information around [3].
Is it hard to become one?
Becoming a data engineer takes practice and learning โ you need to understand software engineering and how to work with lots of data, but if you're willing to learn, it's a career that's still in high demand [1].
// sources
Mar 5, 2024 ... Yes, if you have 10 years of experience in data engineering/analytics, you can get a job using cloud technology. Is the effort truly worth itย ...
Mar 23, 2026 ... How I discovered that the true ROI of data engineering hinges on its place in the organization โ and why so many companies miss the mark.
Feb 6, 2015 ... r/dataengineering: News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats,ย ...
Data engineering is the practice of designing and building systems for the aggregation, storage and analysis of data at scale.
Data engineering is a software engineering approach to the building of data systems, to enable the collection and usage of data.
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